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Docs: Fix #9074

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Change: 153414133
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Asim Shankar 2017-04-17 17:02:58 -08:00 committed by TensorFlower Gardener
parent a8b175a7d7
commit 5eb25c7da5
1 changed files with 28 additions and 37 deletions
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tensorflow/core/ops/math_ops.cc
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@ -1396,8 +1396,8 @@ REGISTER_OP("SegmentSum")
.Doc(R"doc( .Doc(R"doc(
Computes the sum along segments of a tensor. Computes the sum along segments of a tensor.
Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation) Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
for an explanation of segments. segments.
Computes a tensor such that Computes a tensor such that
\\(output_i = \sum_j data_j\\) where sum is over `j` such \\(output_i = \sum_j data_j\\) where sum is over `j` such
@ -1406,7 +1406,7 @@ that `segment_ids[j] == i`.
If the sum is empty for a given segment ID `i`, `output[i] = 0`. If the sum is empty for a given segment ID `i`, `output[i] = 0`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentSum.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/SegmentSum.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1426,9 +1426,8 @@ REGISTER_OP("SegmentMean")
.Doc(R"doc( .Doc(R"doc(
Computes the mean along segments of a tensor. Computes the mean along segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Computes a tensor such that Computes a tensor such that
\\(output_i = \frac{\sum_j data_j}{N}\\) where `mean` is \\(output_i = \frac{\sum_j data_j}{N}\\) where `mean` is
@ -1438,7 +1437,7 @@ values summed.
If the mean is empty for a given segment ID `i`, `output[i] = 0`. If the mean is empty for a given segment ID `i`, `output[i] = 0`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentMean.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/SegmentMean.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1458,9 +1457,8 @@ REGISTER_OP("SegmentProd")
.Doc(R"doc( .Doc(R"doc(
Computes the product along segments of a tensor. Computes the product along segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Computes a tensor such that Computes a tensor such that
\\(output_i = \prod_j data_j\\) where the product is over `j` such \\(output_i = \prod_j data_j\\) where the product is over `j` such
@ -1469,7 +1467,7 @@ that `segment_ids[j] == i`.
If the product is empty for a given segment ID `i`, `output[i] = 1`. If the product is empty for a given segment ID `i`, `output[i] = 1`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentProd.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/SegmentProd.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1489,9 +1487,8 @@ REGISTER_OP("SegmentMin")
.Doc(R"doc( .Doc(R"doc(
Computes the minimum along segments of a tensor. Computes the minimum along segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Computes a tensor such that Computes a tensor such that
\\(output_i = \min_j(data_j)\\) where `min` is over `j` such \\(output_i = \min_j(data_j)\\) where `min` is over `j` such
@ -1500,7 +1497,7 @@ that `segment_ids[j] == i`.
If the min is empty for a given segment ID `i`, `output[i] = 0`. If the min is empty for a given segment ID `i`, `output[i] = 0`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentMin.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/SegmentMin.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1520,8 +1517,8 @@ REGISTER_OP("SegmentMax")
.Doc(R"doc( .Doc(R"doc(
Computes the maximum along segments of a tensor. Computes the maximum along segments of a tensor.
Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation) Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
for an explanation of segments. segments.
Computes a tensor such that Computes a tensor such that
\\(output_i = \max_j(data_j)\\) where `max` is over `j` such \\(output_i = \max_j(data_j)\\) where `max` is over `j` such
@ -1530,7 +1527,7 @@ that `segment_ids[j] == i`.
If the max is empty for a given segment ID `i`, `output[i] = 0`. If the max is empty for a given segment ID `i`, `output[i] = 0`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/SegmentMax.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/SegmentMax.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1551,9 +1548,8 @@ REGISTER_OP("UnsortedSegmentSum")
.Doc(R"doc( .Doc(R"doc(
Computes the sum along segments of a tensor. Computes the sum along segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Computes a tensor such that Computes a tensor such that
`(output[i] = sum_{j...} data[j...]` where the sum is over tuples `j...` such `(output[i] = sum_{j...} data[j...]` where the sum is over tuples `j...` such
@ -1566,7 +1562,7 @@ If the sum is empty for a given segment ID `i`, `output[i] = 0`.
`num_segments` should equal the number of distinct segment IDs. `num_segments` should equal the number of distinct segment IDs.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/UnsortedSegmentSum.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/UnsortedSegmentSum.png" alt>
</div> </div>
segment_ids: A tensor whose shape is a prefix of `data.shape`. segment_ids: A tensor whose shape is a prefix of `data.shape`.
@ -1577,7 +1573,6 @@ output: Has same shape as data, except for the first `segment_ids.rank`
)doc"); )doc");
REGISTER_OP("UnsortedSegmentMax") REGISTER_OP("UnsortedSegmentMax")
.Input("data: T") .Input("data: T")
.Input("segment_ids: Tindices") .Input("segment_ids: Tindices")
@ -1589,11 +1584,10 @@ REGISTER_OP("UnsortedSegmentMax")
.Doc(R"doc( .Doc(R"doc(
Computes the Max along segments of a tensor. Computes the Max along segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
This operator is similar to the [unsorted segment sum operator](../../api_docs/python/math_ops.md#UnsortedSegmentSum). This operator is similar to the [unsorted segment sum operator](../../../api_docs/python/math_ops.md#UnsortedSegmentSum).
Instead of computing the sum over segments, it computes the maximum Instead of computing the sum over segments, it computes the maximum
such that: such that:
@ -1604,7 +1598,7 @@ If the maximum is empty for a given segment ID `i`, it outputs the smallest poss
`output[i] = numeric_limits<T>::min()`. `output[i] = numeric_limits<T>::min()`.
<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/UnsortedSegmentSum.png" alt> <img style="width:100%" src="https://www.tensorflow.org/images/UnsortedSegmentSum.png" alt>
</div> </div>
segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s segment_ids: A 1-D tensor whose rank is equal to the rank of `data`'s
@ -1625,9 +1619,8 @@ REGISTER_OP("SparseSegmentSum")
.Doc(R"doc( .Doc(R"doc(
Computes the sum along sparse segments of a tensor. Computes the sum along sparse segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first
dimension, selecting a subset of dimension 0, specified by `indices`. dimension, selecting a subset of dimension 0, specified by `indices`.
@ -1674,9 +1667,8 @@ REGISTER_OP("SparseSegmentMean")
.Doc(R"doc( .Doc(R"doc(
Computes the mean along sparse segments of a tensor. Computes the mean along sparse segments of a tensor.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
Like `SegmentMean`, but `segment_ids` can have rank less than `data`'s first Like `SegmentMean`, but `segment_ids` can have rank less than `data`'s first
dimension, selecting a subset of dimension 0, specified by `indices`. dimension, selecting a subset of dimension 0, specified by `indices`.
@ -1724,9 +1716,8 @@ Computes the sum along sparse segments of a tensor divided by the sqrt of N.
N is the size of the segment being reduced. N is the size of the segment being reduced.
Read [the section on Read @{$math_ops#segmentation$the section on segmentation} for an explanation of
Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation segments.
of segments.
indices: A 1-D tensor. Has same rank as `segment_ids`. indices: A 1-D tensor. Has same rank as `segment_ids`.